Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal International Journal of Social Science
Muh Abd Rosid
Universitas Muhammadiyah Tangerang (UMT), Indonesia
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Public Health Social Sciences Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : International Journal of Social Science

 1 
EFFECT OF JOB SATISFACTION AND ORGANIZATIONAL COMMITMENT TO TURNOVER INTENTION AT PT. ACS AEROFOOD Lukman Nuzul Hakim; Muh Abd Rosid; Indah Kusumawati
International Journal of Social Science Vol. 2 No. 2: Agustus 2022
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/ijss.v2i2.3070

Abstract

This study aims to analyze the effect of Work and Organizational Commitment on Turnover Intention at PT. Aerofood ACS. The sample of this research is 97 respondents of employees of PT. Aerofood ACS with a population of 2,749. The method used is a quantitative method. The collection of primary data obtained from the distribution of questionnaires and secondary data obtained from the company. The analytical technique used is multiple linear regression analysis using SPSS version 24 software. The results showed that partially the work objective variable (X1) did not have a positive effect on Turnover Intention (Y). This is indicated by tcount < t table ie 1.395 < 1.661, Organizational Commitment (X2) has a positive effect on Turnover Intention (Y). This is indicated by t arithmetic > t table which is 4.513 > 1.661 and a significant regression value of 0.000 is smaller than 0.050. Simultaneously the work variable (X1) and Organizational Commitment (X2) have a positive effect on Turnover Intention (Y), namely Fcount > Ftable of 31,223 > 2,70. With multiple regression equation value Y = 6.908 + 0.247X1 + 0.618X2 with a coefficient of determination of 39.90% which is influenced by factors not examined.
Co-Authors Indah Kusumawati Lukman Nuzul Hakim